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Systemic effects of missense mutations on SARS-CoV-2 spike glycoprotein stability and receptor-binding affinity

Shaolei Teng, Adebiyi Sobitan, Raina Rhoades, Dongxiao Liu, Qiyi Tang

2020Briefings in Bioinformatics130 citationsDOIOpen Access PDF

Abstract

The spike (S) glycoprotein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the binding to the permissive cells. The receptor-binding domain (RBD) of SARS-CoV-2 S protein directly interacts with the human angiotensin-converting enzyme 2 (ACE2) on the host cell membrane. In this study, we used computational saturation mutagenesis approaches, including structure-based energy calculations and sequence-based pathogenicity predictions, to quantify the systemic effects of missense mutations on SARS-CoV-2 S protein structure and function. A total of 18 354 mutations in S protein were analyzed, and we discovered that most of these mutations could destabilize the entire S protein and its RBD. Specifically, residues G431 and S514 in SARS-CoV-2 RBD are important for S protein stability. We analyzed 384 experimentally verified S missense variations and revealed that the dominant pandemic form, D614G, can stabilize the entire S protein. Moreover, many mutations in N-linked glycosylation sites can increase the stability of the S protein. In addition, we investigated 3705 mutations in SARS-CoV-2 RBD and 11 324 mutations in human ACE2 and found that SARS-CoV-2 neighbor residues G496 and F497 and ACE2 residues D355 and Y41 are critical for the RBD-ACE2 interaction. The findings comprehensively provide potential target sites in the development of drugs and vaccines against COVID-19.

Topics & Concepts

Missense mutationGlycoproteinSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)ReceptorSpike ProteinSpike (software development)MutationCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakVirologyGeneticsBiologyGeneMedicineComputer scienceInternal medicineInfectious disease (medical specialty)DiseaseOutbreakSoftware engineeringSARS-CoV-2 and COVID-19 ResearchComputational Drug Discovery MethodsCOVID-19 Clinical Research Studies
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